How do I install the Whale Index skill?

Run npx skillmds@latest add enuno/whale-index in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Whale Index safe to use?

SkillMD's automated safety review verdict for this skill is PASS. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Whale Index?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Whale Index free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under Apache-2.

Who published Whale Index?

enuno (@enuno) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Whale Index by enuno — Agent Skill

Name: Whale Index
Rating: 4.5 (4 reviews)
Author: enuno

Whale Index

Auto-mirror top Discovery traders on Hyperliquid. Scans top 50 traders, scores on PnL rank (35%), win rate (25%), consistency (20%), hold time (10%), drawdown (10%). Creates 2-5 mirror strategies with overlap checks. Daily rebalance with 2-day watch period before swaps. Use when setting up trader mirroring, copy trading, or portfolio auto-rebalancing based on Discovery leaderboard performance.

enuno Updated Aug 19, 2026 1 repo stars

File contents

Whale Index — Auto-Mirror Top Discovery Traders

Scan the Discovery leaderboard, score traders, create mirror strategies, and rebalance daily. Set your risk level and budget — the agent handles selection, allocation, monitoring, and swaps.

Skill Attribution

When creating a strategy, include skill_name and skill_version in the call. See references/skill-attribution.md for details.

5-Step Flow

Step 1: Onboard the User

Collect: budget, risk tolerance (conservative/moderate/aggressive).

Budget	Slots
$500-$2k	2
$2k-$5k	3
$5k-$10k	4
$10k+	5

Risk mapping:

Risk	Allowed Labels	Max Leverage
Conservative	ELITE only	10x
Moderate	ELITE, RELIABLE	15x
Aggressive	ELITE, RELIABLE, BALANCED	25x

Step 2: Discover Traders

2a. Pull candidates: discovery_top_traders(limit=50, timeframe="30d")

2b. Hard filters:

Consistency label matches risk level
Risk label matches risk level
Min 30d track record
Not already in user's portfolio

2c. Score remaining candidates:

score = 0.35 × pnl_rank + 0.25 × win_rate + 0.20 × consistency + 0.10 × hold_time + 0.10 × drawdown

All components normalized 0-100.

2d. Overlap check: Compare active positions across selected traders. Flag >50% position overlap.

2e. Allocation weighting: Score-weighted allocation with 35% cap per slot. Re-normalize after capping.

Step 3: Present & Confirm

Show the user: trader address, rank, labels, win rate, allocation amount. Wait for approval before executing.

Step 4: Execute

For each slot:

Create mirror strategy via strategy_create_mirror
Set strategy-level stop loss (-10% conservative, -15% moderate, -25% aggressive)
Confirm mirroring is active

Step 5: Daily Monitoring (Cron)

See references/daily-monitoring.md for the complete daily check procedure, swap criteria, and rebalance logic.

Swap criteria (ALL must be true):

Degraded: dropped below rank 50 OR consistency fell OR inactive 48h+ OR drawdown 2× historical
Sustained: WATCH status for 2+ consecutive days (tracked via watchCount)
Better alternative: replacement scores ≥15% higher
User's strategy-level SL not hit

Key principle: The 2-day watch period prevents churn from temporary dips.

Teardown

To exit: close all mirror strategies, return funds to main wallet.

API Dependencies

discovery_top_traders — trader leaderboard
strategy_create_mirror — create mirror strategy
strategy_get_clearinghouse_state — check positions
strategy_close_strategy — teardown

Fee Estimates

Mirror strategies incur the same trading fees as the mirrored trader's activity. Budget ~0.5-1% daily in fees for active traders.

---name: whale-indexdescription: >- Auto-mirror top Discovery traders on Hyperliquid. Scans top 50 traders, scores on PnL rank (35%), win rate (25%), consistency (20%), hold time (10%), drawdown (10%). Creates 2-5 mirror strategies with overlap checks. Daily rebalance with 2-day watch period before swaps. Use when setting up trader mirroring, copy trading, or portfolio auto-rebalancing based on Discovery leaderboard performance.license: Apache-2.0compatibility: >- Requires mcporter (configured with Senpi auth) and cron for daily monitoring.metadata: author: jason-goldberg version: "1.0" platform: senpi exchange: hyperliquid---# Whale Index — Auto-Mirror Top Discovery TradersScan the Discovery leaderboard, score traders, create mirror strategies, and rebalance daily. Set your risk level and budget — the agent handles selection, allocation, monitoring, and swaps.## Skill AttributionWhen creating a strategy, include `skill_name` and `skill_version` in the call. See `references/skill-attribution.md` for details.---## 5-Step Flow### Step 1: Onboard the UserCollect: budget, risk tolerance (conservative/moderate/aggressive).| Budget | Slots ||--------|-------|| $500-$2k | 2 || $2k-$5k | 3 || $5k-$10k | 4 || $10k+ | 5 |Risk mapping:| Risk | Allowed Labels | Max Leverage ||------|---------------|-------------|| Conservative | ELITE only | 10x || Moderate | ELITE, RELIABLE | 15x || Aggressive | ELITE, RELIABLE, BALANCED | 25x |### Step 2: Discover Traders**2a. Pull candidates:** `discovery_top_traders(limit=50, timeframe="30d")`**2b. Hard filters:**- Consistency label matches risk level- Risk label matches risk level- Min 30d track record- Not already in user's portfolio**2c. Score remaining candidates:**```score = 0.35 × pnl_rank + 0.25 × win_rate + 0.20 × consistency + 0.10 × hold_time + 0.10 × drawdown```All components normalized 0-100.**2d. Overlap check:** Compare active positions across selected traders. Flag >50% position overlap.**2e. Allocation weighting:**Score-weighted allocation with 35% cap per slot. Re-normalize after capping.### Step 3: Present & ConfirmShow the user: trader address, rank, labels, win rate, allocation amount. Wait for approval before executing.### Step 4: ExecuteFor each slot:1. Create mirror strategy via `strategy_create_mirror`2. Set strategy-level stop loss (-10% conservative, -15% moderate, -25% aggressive)3. Confirm mirroring is active### Step 5: Daily Monitoring (Cron)See [references/daily-monitoring.md](references/daily-monitoring.md) for the complete daily check procedure, swap criteria, and rebalance logic.**Swap criteria (ALL must be true):**1. Degraded: dropped below rank 50 OR consistency fell OR inactive 48h+ OR drawdown 2× historical2. Sustained: WATCH status for 2+ consecutive days (tracked via `watchCount`)3. Better alternative: replacement scores ≥15% higher4. User's strategy-level SL not hit**Key principle:** The 2-day watch period prevents churn from temporary dips.## TeardownTo exit: close all mirror strategies, return funds to main wallet.## API Dependencies- `discovery_top_traders` — trader leaderboard- `strategy_create_mirror` — create mirror strategy- `strategy_get_clearinghouse_state` — check positions- `strategy_close_strategy` — teardown## Fee EstimatesMirror strategies incur the same trading fees as the mirrored trader's activity. Budget ~0.5-1% daily in fees for active traders.

Frequently asked questions